at Google ScholarTitle data
Baumann, Michaela ; Baumann, Michael Heinrich ; Schönig, Stefan ; Jablonski, Stefan:
Resource-Aware Process Model Similarity Matching.
In: Toumani, Farouk
(ed.):
Service-Oriented Computing - ICSOC 2014 Workshops. -
Cham
: Springer
,
2015
. - pp. 96-107
. - (Lecture Notes in Computer Science
; 8954
)
ISBN 978-3-319-22884-6
DOI: https://doi.org/10.1007/978-3-319-22885-3_9
Project information
| Project title: |
Project's official title Project's id Kompetenzzentrum für praktisches Prozess- und Qualitätsmanagement - Europäischer Fonds für regionale Entwicklung (EFRE) No information Promotionsstipendium der Hanns-Seidel-Stiftung e.V. (HSS) aus Mitteln des Bundesministeriums für Bildung und Forschung (BMBF) No information |
|---|---|
| Project financing: |
Bundesministerium für Bildung und Forschung Europäische Strukturfonds Hanns-Seidel-Stiftung |
Abstract in another language
As business process models are widely used and essential for most organizations, the problem of redundantly modeled processes rises. This can happen when a process is modeled by different modelers or when organizations merge. In order to cope with this issue, typically process model similarity matching methods are used. Thereby, pure textual matching algorithms operating on single activities are often not suitable. One alternative is to include further information like data and resources and to check for M:N-matchings. The work at hand describes how to use resource information to match process models, even if they are modeled on different levels of granularity. The approach can be used for both human and non-human resources. Furthermore, the differences between intra- and inter-organizational matchings are pointed out.